{"id":"W4389607710","doi":"10.1002/advs.202305035","title":"Design and Characterization of a Novel eEF2K Degrader with Potent Therapeutic Efficacy Against Triple‐Negative Breast Cancer","year":2023,"lang":"en","type":"article","venue":"Advanced Science","topic":"Peptidase Inhibition and Analysis","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"Hunan Provincial Innovation Foundation for Postgraduate; Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Triple-negative breast cancer; Paclitaxel; Cancer research; Ubiquitin ligase; In vivo; Breast cancer; In vitro; Targeted therapy; Drug; Medicine; Protein degradation; Cancer; Ubiquitin; Pharmacology; Chemistry; Biology; Internal medicine; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001769834,0.00009114248,0.0001645123,0.0002089112,0.0001183664,0.0000152536,0.00006040721,0.00001806482,0.00001168238],"category_scores_gemma":[0.00002961566,0.00006355397,0.00002382388,0.001703948,0.0003879433,0.0002315714,0.00001818914,0.00006102147,0.000002806397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004273374,"about_ca_system_score_gemma":0.0001582523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006950684,"about_ca_topic_score_gemma":0.000002079968,"domain_scores_codex":[0.9990824,0.00001470039,0.0001361976,0.0002612998,0.0003186358,0.0001867529],"domain_scores_gemma":[0.9994373,0.00004126211,0.0000991714,0.0001301295,0.0001928079,0.00009937105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001274468,0.00007914037,0.0004467571,0.00001396935,0.00001616091,0.000003927767,0.0003704994,0.001016184,0.9747584,0.000036498,0.000001163357,0.02312985],"study_design_scores_gemma":[0.005299527,0.000265531,0.5926401,0.001049122,0.00008616118,0.00004635774,0.0005092429,0.07895186,0.3208445,0.00003133799,0.00002389323,0.0002522981],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562525,0.00001327871,0.04194702,0.001347811,0.00001612719,0.0002982122,0.00002075943,0.00005092869,0.00005337027],"genre_scores_gemma":[0.997264,0.000102811,0.001880326,0.0004933442,0.00001327532,0.00002480491,0.0000100625,0.000007974721,0.0002033821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6539139,"threshold_uncertainty_score":0.2591656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03179178261054299,"score_gpt":0.3034776683179363,"score_spread":0.2716858857073933,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}